Rater Reliability and Rating Scale Utility for the AP Japanese Computer-Simulated Conversation Task: Evaluation Inference by Nana Suzumura-Smith

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Design and evaluation of children’s education interactive learning system based on human computer interaction technology by Mengru Li, Yang Lv, Yongming Pu, Min Wu

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Neuroadaptive haptics: a proof-of-concept comparing reinforcement learning from explicit ratings and neural signals for adaptive XR systems by Lukas Gehrke, Aleksandrs Koselevs, Marius Klug, Klaus Gramann

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Deep Neural Network-Based Modeling of Multimodal Human–Computer Interaction in Aircraft Cockpits by Li Wang, Heming Zhang, Changyuan Wang

“…Improving the performance of human–computer interaction systems is an essential indicator of aircraft intelligence. …”
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Detecting human attacks on text‐based CAPTCHAs using the keystroke dynamic approach by Suliman A. Alsuhibany, Latifah A. Alreshoodi

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Inheritance and protection of intangible cultural heritage in drama category based on AI human–computer interaction and digital technology by Jingjing Ren

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GaVe: A webcam-based gaze vending interface using one-point calibration by Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix Siebert

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Optimization Method of Human Posture Recognition Based on Kinect V2 Sensor by Hang Li, Hao Li, Ying Qin, Yiming Liu

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On-Device System for Device Directed Speech Detection for Improving Human Computer Interaction by Abhishek Singh, Rituraj Kabra, Rahul Kumar, Manjunath Belgod Lokanath, Reetika Gupta, Sumit Kumar Shekhar

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Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation by Quentin Malé, Corentin J. Lapeyre, Nicolas Noiray

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Edge Computing-Based Video Action Recognition Method and Its Application in Online Physical Education Teaching by Jinzhu Han, Jinjin Zhao, Yan Yue, Xinrui Che

“…Experimental results show that the proposed LWV-ViT network achieves the best recognition rates for both behavior detection (96.5%, 95.73%) and action recognition (97.9%, 88.3%, 79.9%) tasks, and has the fewest trainable parameters (2.7 M), which means it performs well in edge computing-based online PE teaching systems.…”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

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Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery by Shuaifei Huang, Yuan Liu, Zhuang Wang, Wenlai Wu, Jun Guo, Weiguo Xu, Dong Ming

“…During the testing phase before and after 4 weeks of training, all participants were tested for SRF-finger opposition sequence behavior, resting state fMRI (rs-fMRI), and task-based fMRI (tb-fMRI). The results showed that compared with the Sham group, the BCI-SRF group improved the accuracy rate of the SRF-finger opposition sequence by 132%. …”
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How positive and negative feedback following real interactions changes subsequent sender ratings by Antje Peters, Jendrik Witte, Hanne Helming, Robert Moeck, Thomas Straube, Sebastian Schindler

“…In addition, we find rapid behavioral changes in the ratings for the senders based on their feedback behavior.…”
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Advanced ANN computational procedure for thermal transport prediction in polymer-based ternary radiative Carreau nanofluid with extreme shear rates over bullet surface by Darvesh Adil, Maiz Fethi Mohamed, Souayeh Basma, Sánchez-Chero Manuel, AL Garalleh Hakim, Santisteban Luis Jaime Collantes, Leonardo Celso Nazario Purihuamán

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An evidence-based digital prescription opioid safety toolkit for national dissemination: co-design and user testing by Alex Waddell, Jessica L. Watterson, Jessica L. Watterson, Dhruv Basur, Christopher Owen Prawira, Louisa Picco, Tina Lam, Patrick Olivier, Joshua Paolo Seguin, Liam Kay, Suzanne Nielsen

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Computationally assisted screening and design of cell-interactive peptides by a cell-based assay using peptide arrays and a fuzzy neural network algorithm by Chiaki Kaga, Mina Okochi, Yasuyuki Tomita, Ryuji Kato, Hiroyuki Honda

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Didactics of the Fundamentals of Computer Programming with a Computational Thinking Approach Based on Turtle Graphs by Jesus Insuasti, Edwin Insuasty, Alexander Baron

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Priority-aware task offloading for LEO satellite edge computing network: a multi-agent deep reinforcement learning-based approach by Juan Chen, Jie Zhong, Zongling Wu, Di Tian, Yujie Chen

“…Existing task scheduling algorithms often fail to fully consider task deadlines and priority orders, leading to deficiencies in handling urgent tasks and optimizing overall computational efficiency. In response to these issues, we propose a multi-agent advantage actor-critic (MA2C) algorithm based on deep reinforcement learning, aiming to effectively address the task scheduling challenges in SatEC. …”
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The Role of Blood Perfusion in the Thermal Interaction Between Magnetic Nanoparticles and Cancerous Tumors: A Computational Study by Nikolaos Maniotis, Spyridon Mitropoulos, Nikolaos Vordos, Vassilios Tsiantos

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